Infrared sequence image generation of point target in deep space

In order to meet the demands of space-based detection simulation system, a method of infrared sequence image generation for point targets in deep space background is presented based on the Satellite Tool Kit (STK) and MATLAB. A simple isothermal model more efficient than the node network method is used to calculate the temperature of the space targets to improve the simulation efficiency, and a model of celestial background is presented based on Midcourse Space Experiment (MSX) infrared stellar catalog more complete than the Low Resolution Spectra (LRS) stellar catalog to extend the application of the space-based detection simulation system. The conversion model between the irradiance of target background and the image gray is established by calculating the electron numbers received by the detectors. The disturbance error of satellite, measurement error of camera and electronic noise of Focal Plane Array (FPA) are considered to generate images closed to a real world. Experimental results show that the proposed method can simulate the infrared sequence images of point targets at anytime, any viewpoint and any Field of View(FOV) (wavebands range from 4 μm to 26 μm). Finally, an infrared image sequence of some point targets are simulated.